Streptomyces sp. (DSM 930, NRRL 8067, JCM 4946)

Name: Streptomyces sp. (DSM 930, NRRL 8067, JCM 4946)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 15618

Type strain

Culture col. no. DSM 930 NRRL 8067 JCM 4946 KCC S-0946 NCIMB 11239 1 more

NCBI tax ID(s) 1931

Special Collections DSMZ JCM

Links

DSM 930 is a mesophilic prokaryote that was isolated from Soil.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 265326

DSM 930,NRRL 8067,JCM 4946,NCIMB 11239

@ref 20215

Last LPSN update 2025-12-16 09:50:39

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Kitasatosporales

Family Streptomycetaceae

Genus Streptomyces

Full scientific name Streptomyces Waksman and Henrici 1943 (Approved Lists 1980)

Synonyms (10)

Streptoverticillium
"Microechinospora"
Carbonactinospora
Actinosporangium
Chainia
Kitasatoa
Actinopycnidium
Elytrosporangium
Actinacidiphila
Microellobosporia

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	99.1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
406	GYM STREPTOMYCES MEDIUM (DSMZ Medium 65)		Medium recipe at MediaDive	Name: GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) Composition: Agar 18.0 g/l Malt extract 10.0 g/l Yeast extract 4.0 g/l Glucose 4.0 g/l CaCO3 2.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
406	positive	growth	28	mesophilic
67770	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	91.927
125439	aerobe	97.3

Spore formation

@ref	Spore formation	Confidence
125438		92.191

Compound production

406

Compoundantibiotic U-47,929

Metabolite production

@ref	Chebi-ID	Metabolite
67770		feldamycin
67770	156531 ChEBI	ficellomycin
67770	28945 ChEBI	nojirimycin

Isolation, sampling and environmental information

Isolation

67770

Sample typeSoil

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM973990v1 assembly for Streptomyces ficellus NRRL 8067	complete	GCA_009739905	1977088.4	2908280617	1977088	99.11

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptomyces ficellus NRRL 8067
NCBI: GCA_009739905

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	86.50	no
125439	motility	BacteriaNetⓘ	no	85.50	no
125439	gram_stain	BacteriaNetⓘ	positive	99.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	97.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptomyces ficellus NRRL 8067
NCBI: GCA_009739905.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.88	no
125438	anaerobic	anaerobicⓘ	no	98.39	no
125438	aerobic	aerobicⓘ	yes	91.93	no
125438	spore-forming	spore-formingⓘ	yes	92.19	no
125438	thermophilic	thermophileⓘ	no	96.47	no
125438	flagellated	motile2+ⓘ	no	89.00	no

Literature

References

#406	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 930
#20215	Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.: List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 )
#66792	Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#125438	Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 )
#125439	Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 .
#126262	A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 )

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